Terence L. van Zyl

According to our database, Terence L. van Zyl authored at least 59 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Machine Learning for Socially Responsible Portfolio Optimisation.

Taeisha Nundlall, Terence L. van Zyl

Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

A Learnheuristic Approach to A Constrained Multi-Objective Portfolio Optimisation Problem.

Sonia Bullah, Terence L. van Zyl

Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting.

Terence L. van Zyl

Proceedings of the 26th International Conference on Information Fusion, 2023

2022

Exploring the effectiveness of surrogate-assisted evolutionary algorithms on the batch processing problem.

Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway

CoRR, 2022

Volatility forecasting using Deep Learning and sentiment analysis.

V. Ncume, Terence L. van Zyl, Andrew Paskaramoorthy

CoRR, 2022

Pareto Driven Surrogate (ParDen-Sur) Assisted Optimisation of Multi-period Portfolio Backtest Simulations.

Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy

CoRR, 2022

Knowledge Graph Fusion for Language Model Fine-tuning.

Nimesh Bhana, Terence L. van Zyl

CoRR, 2022

Surrogate Assisted Evolutionary Multi-objective Optimisation applied to a Pressure Swing Adsorption system.

Liezl Stander, Matthew Woolway, Terence L. van Zyl

CoRR, 2022

Using Machine Learning to Fuse Verbal Autopsy Narratives and Binary Features in the Analysis of Deaths from Hyperglycaemia.

Thokozile Manaka, Terence L. van Zyl, Alisha N. Wade, Deepak Kar

CoRR, 2022

Deep Reinforcement Learning and Convex Mean-Variance Optimisation for Portfolio Management.

Ruan Pretorius, Terence L. van Zyl

CoRR, 2022

Evaluating State of the Art, Forecasting Ensembles- and Meta-learning Strategies for Model Fusion.

Pieter Cawood, Terence L. van Zyl

CoRR, 2022

Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection.

Thabang Mathonsi, Terence L. van Zyl

CoRR, 2022

Investigating Transfer Learning in Graph Neural Networks.

Nishai Kooverjee, Steven James, Terence L. van Zyl

CoRR, 2022

Transfer Learning and Deep Metric Learning for Automated Galaxy Morphology Representation.

Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway

IEEE Access, 2022

Multi-modal Recommendation System with Auxiliary Information.

Mufhumudzi Muthivhi, Terence L. van Zyl, Hairong Wang

Proceedings of the Artificial Intelligence Research - Third Southern African Conference, 2022

Improving Cause-of-Death Classification from Verbal Autopsy Reports.

Thokozile Manaka, Terence L. van Zyl, Deepak Kar

Proceedings of the Artificial Intelligence Research - Third Southern African Conference, 2022

Towards a Methodology for Addressing Missingness in Datasets, with an Application to Demographic Health Datasets.

Gift Khangamwa, Terence L. van Zyl, Clint J. van Alten

Proceedings of the Artificial Intelligence Research - Third Southern African Conference, 2022

Fusion of Sentiment and Asset Price Predictions for Portfolio Optimization.

Mufhumudzi Muthivhi, Terence L. van Zyl

Proceedings of the 25th International Conference on Information Fusion, 2022

An Empirical Comparison of Cross-Validation Procedures for Portfolio Selection.

Andrew Paskaramoorthy, Terence L. van Zyl, Tim Gebbie

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

Twin-Delayed Deep Deterministic Policy Gradient Algorithm for Portfolio Selection.

Nicholas Baard, Terence L. van Zyl

Proceedings of the IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2022

2021

Did We Produce More Waste During the COVID-19 Lockdowns? A Remote Sensing Approach to Landfill Change Analysis.

Terence L. van Zyl, Turgay Çelik

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Comparing Class-Aware and Pairwise Loss Functions for Deep Metric Learning in Wildlife Re-Identification.

Nkosikhona Dlamini, Terence L. van Zyl

Sensors, 2021

Deep/Transfer Learning with Feature Space Ensemble Networks (FeatSpaceEnsNets) and Average Ensemble Networks (AvgEnsNets) for Change Detection Using DInSAR Sentinel-1 and Optical Sentinel-2 Satellite Data Fusion.

Zainoolabadien Karim, Terence L. van Zyl

Remote. Sens., 2021

A Statistics and Deep Learning Hybrid Method for Multivariate Time Series Forecasting and Mortality Modeling.

Thabang Mathonsi, Terence L. van Zyl

CoRR, 2021

Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning.

Thabang Mathonsi, Terence L. van Zyl

CoRR, 2021

Incremental Class Learning using Variational Autoencoders with Similarity Learning.

Jiahao Huo, Terence L. van Zyl

CoRR, 2021

AMA-K: Aggressive Multi-Temporal Allocation An Algorithm for Aggressive Online Portfolio Selection.

Matthew Kruger, Terence L. van Zyl, Andrew Paskaramoorthy

CoRR, 2021

Surrogate Assisted Strategies (The Parameterisation of an Infectious Disease Agent-Based Model).

Rylan Perumal, Terence L. van Zyl

CoRR, 2021

Feature-weighted Stacking for Nonseasonal Time Series Forecasts: A Case Study of the COVID-19 Epidemic Curves.

Pieter Cawood, Terence L. van Zyl

CoRR, 2021

ParDen: Surrogate Assisted Hyper-Parameter Optimisation for Portfolio Selection.

Terence L. van Zyl, Matthew Woolway, Andrew Paskaramoorthy

CoRR, 2021

Deep Similarity Learning for Sports Team Ranking.

Daniel Yazbek, Jonathan Sandile Sibindi, Terence L. van Zyl

CoRR, 2021

Full Rotation Hyper-ellipsoid Multivariate Adaptive Bandwidth Kernel Density Estimator.

Terence L. van Zyl

Proceedings of the Artificial Intelligence Research - Second Southern African Conference, 2021

Comparing CNN Architectures for Land Cover Classification on Multispectral Images.

Bryce Engelbrecht, Terence L. van Zyl

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

The efficient frontiers of mean-variance portfolio rules under distribution misspecification.

Andrew Paskaramoorthy, Tim Gebbie, Terence L. van Zyl

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Surrogate Parameters Optimization for Data and Model Fusion of COVID-19 Time-series Data.

Timilehin Ogundare, Terence L. van Zyl

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

Deep Learning for Financial Time Series Forecast Fusion and Optimal Portfolio Rebalancing.

Siddeeq Laher, Andrew Paskaramoorthy, Terence L. van Zyl

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Surrogate Assisted Methods for the Parameterisation of Agent-Based Models.

Rylan Perumal, Terence L. van Zyl

CoRR, 2020

Comparison of Recurrent Neural Network Architectures for Wildfire Spread Modelling.

Rylan Perumal, Terence L. van Zyl

CoRR, 2020

Inter- and Intra-domain Knowledge Transfer for Related Tasks in Deep Character Recognition.

Nishai Kooverjee, Steven James, Terence L. van Zyl

CoRR, 2020

DRICORN-K: A Dynamic RIsk CORrelation-driven Non-parametric Algorithm for Online Portfolio Selection.

Shivaar Sooklal, Terence L. van Zyl, Andrew Paskaramoorthy

Proceedings of the Artificial Intelligence Research, 2020

Unique Animal Identification using Deep Transfer Learning For Data Fusion in Siamese Networks.

Terence L. van Zyl, Matthew Woolway, Bryce Engelbrecht

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

A rules-based and Transfer Learning approach for deriving the Hubble type of a galaxy from the Galaxy Zoo data.

Mohamed Zayyan Variawa, Terence L. van Zyl, Matthew Woolway

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Data-Driven Evolutionary Optimisation for the design parameters of a Chemical Process: A Case Study.

Liezl Stander, Matthew Woolway, Terence L. van Zyl

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Deep Similarity Learning for Soccer Team Ranking.

Habeebullah Manack, Terence L. van Zyl

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Predicting Particle Fineness in a Cement Mill.

Rowan Lange, Tony Lange, Terence L. van Zyl

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Unique Faces Recognition in Videos.

Jiahao Huo, Terence L. van Zyl

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

A Method for Dissolved Gas Forecasting in Power Transformers Using LS-SVM.

J. Atherfold, Terence L. van Zyl

Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2018

A Framework for Visual Analytics of Spatio-Temporal Sensor Observations from Data Streams.

Bolelang Sibolla, Serena Coetzee, Terence L. van Zyl

ISPRS Int. J. Geo Inf., 2018

2013

Applying Sensor Web strategies to Big Data earth observations.

Terence L. van Zyl, Graeme McFerren

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012

Earth Observation Scientific Workflows in a Distributed Computing Environment.

Terence L. van Zyl, Anwar Vahed, Graeme McFerren, Derek Hohls

Trans. GIS, 2012

2010

Earth Observation Sensor Web: An Overview.

Liping Di, Karen Moe, Terence L. van Zyl

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2010

Signal-regulated systems and networks.

Terence L. van Zyl, Elizabeth Marie Ehlers

Complex., 2010

2009

The Sensor Web: systems of sensor systems.

Terence L. van Zyl, Ingo Simonis, Graeme McFerren

Int. J. Digit. Earth, 2009

Using SensorML to Describe Scientific Workflows in Distributed Web Service Environments.

Terence L. van Zyl, Anwar Vahed, Graeme McFerren, Petrus Shabangu, Bheki Cwele

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

Self-organising Sensor Web using Cell-Fate Optimisation.

Terence L. van Zyl, Elizabeth Marie Ehlers

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2009

2008

Classification of web resident sensor resources using Latent Semantic Indexing and ontologies.

Wabo Majavu, Terence L. van Zyl, Tshilidzi Marwala

Proceedings of the IEEE International Conference on Systems, 2008

GEOSS From Orbit, A Sensor Web Approach.

Terence L. van Zyl

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

User Requirements for Sensor Web based Scientific Workflows in the Cholera Research Domain.

Graeme McFerren, Terence L. van Zyl, Marna van der Merwe, Martella du Preez

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2007

A Need for Biologically Inspired Architectural Description: The Agent Ontogenesis Case.

Terence L. van Zyl, Elizabeth Marie Ehlers

Proceedings of the Agent Computing and Multi-Agent Systems, 2007